FT-AVS - A FAULT-TOLERANT ARCHITECTURE FOR REAL-TIME ACTIVE VISION

Citation
Ja. Fayman et al., FT-AVS - A FAULT-TOLERANT ARCHITECTURE FOR REAL-TIME ACTIVE VISION, Real-time imaging, 4(2), 1998, pp. 143-157
Citations number
28
Categorie Soggetti
Computer Science Artificial Intelligence","Computer Science Software Graphycs Programming","Computer Science Theory & Methods","Computer Science Artificial Intelligence","Computer Science Software Graphycs Programming","Computer Science Theory & Methods
Journal title
ISSN journal
10772014
Volume
4
Issue
2
Year of publication
1998
Pages
143 - 157
Database
ISI
SICI code
1077-2014(1998)4:2<143:F-AFAF>2.0.ZU;2-F
Abstract
The nature of most problems addressed by robotics requires that roboti c systems possess real-time properties. Additionally, as a result of s teady increases in power and decreases in the cost of technology, it h as become feasible to integrate sophisticated vision systems into robo tic tasks. This can be seen by the recent interest in active vision. T he purpose of this paper is two-fold: we first present a novel archite cture for real-time active vision systems, and then enhance the archit ecture with a unified approach to fault tolerance. Our system is desig ned modularly in order to enable the flexible addition of hardware and software redundancy and also to allow reconfiguration when and where needed. This gives us the ability to handle faults in the context of a ctive vision. Further, the distribution of software on the available h ardware is such that users can utilize a dual-mode of execution (simul ation and rapid prototyping). Lastly, the tests we ran on the implemen ted architecture in order to validate the results of the experimentati on and simulations show a good correlation of parameters. (C) 1998 Aca demic Press Limited.